Senior Machine Learning Engineer

Alignerr Corp.; United States; Remote; CAD 96,000 - 179,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Contract extension opportunities

Job summary

Alignerr Corp. is seeking a Senior Machine Learning Engineer (AI Training) to author high-fidelity reasoning traces that teach AI models how to plan, use tools, and decide step-by-step. This fully remote, hourly contract role offers flexible hours and meaningful impact.

You will craft data strategies, review traces for quality, and contribute to frontier AI research. Ideal for senior ML practitioners with experience in structured reasoning and model evaluation.

Qualifications

• Experienced ML practitioner with hands-on expertise in ML or DL.
• Skilled at decomposing complex problems into structured, traceable reasoning steps.
• Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis.
• Detail-oriented and rigorous with precision in logic and documentation.
• Self-directed and comfortable working independently in an asynchronous environment.

Responsibilities

• Author complex, high-fidelity reasoning traces guiding LLM planning and tool use.
• Break down sophisticated problems into clear, logical, well-documented reasoning chains.
• Design and document data strategies aiding LLMs in real-world scenarios.
• Review traces to ensure optimal planning and decision-making quality.
• Contribute to training data to improve AI model reasoning and behavior.

Skills

Machine learning

Deep learning

Problem decomposition

LLM evaluation methodologies

Documentation quality

Independent work

Traceable reasoning

Tools

Python

Job description

Senior Machine Learning Engineer (AI Training)

What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve complex problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step thinking records that teach AI models how to navigate real-world tasks with precision and reliability.

About The Role

What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve complex problems? We're looking for Senior Machine Learning Engineers to author high-fidelity reasoning traces — the structured, step-by-step thinking records that teach AI models how to navigate real-world tasks with precision and reliability.

This isn't prompt engineering or basic annotation. This is senior-level, intellectually demanding work that puts your architectural knowledge and ML intuition at the center of how tomorrow's AI thinks.

Fully remote. Flexible hours. Meaningful impact.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Author complex, high-fidelity reasoning traces that capture how an LLM should plan, use tools, and make decisions step by step
• Break down sophisticated technical problems into clear, logical, well-documented reasoning chains
• Design and document data strategies that help LLMs navigate intricate real-world scenarios
• Review and provide expert feedback on traces to ensure optimal planning and decision-making quality
• Contribute directly to training data that improves how frontier AI models reason and act

Who You Are

• Experienced ML practitioner with significant hands-on expertise in machine learning, deep learning, or a closely related technical field
• Skilled at decomposing complex problems into structured, traceable reasoning steps
• Familiar with LLM evaluation methodologies, training pipelines, or model behavior analysis
• Detail-oriented and rigorous — you care about precision in both logic and documentation
• Self-directed and comfortable working independently in an asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Top-tier Kaggle competition results (Grandmaster or Master level) — a strong signal of deep model understanding and performance optimization instincts
• Background in reinforcement learning, chain-of-thought prompting, or agent-based AI frameworks
• Experience contributing to LLM fine-tuning or RLHF workflows

Why Join Us

• Work alongside world-leading AI research teams and labs on frontier model development
• Fully remote and asynchronous — work on your schedule, from anywhere
• Freelance autonomy with intellectually stimulating, high-impact work
• Direct, meaningful contribution to how advanced AI systems learn to reason
• Potential for ongoing work and contract extension as new projects launch